SDFPL and ADE Product

The Automated Validation Tester will be responsible for supporting the PLA:ADE sub-team within the DSCS Digital business case.

 

Core responsibilities include:

• Design, build, maintain, and execute Robot Framework validation suites for laboratory instrument data converted to Allotrope Simple Model (ASM) JSON.
• Translate business requirements, field mappings, SOPs, and validation standards into automated schema, mapping, semantic, and formatting checks.
• Develop Python readers, custom Robot keywords, and reusable validation libraries for CSV, XML, XLS/XLSX, JSON, and instrument-specific formats.
• Perform smoke, functional, regression, UAT, and cross-version testing across converter releases and instrument datasets.
• Conduct root cause analysis to distinguish converter defects, source-data issues, schema changes, and test automation defects.
• Maintain test traceability through mapping identifiers, stable finding and defect keys, execution provenance, and auditable evidence.
• Analyze validation results using SQL, DuckDB, and Parquet to identify new, recurring, resolved, reopened, and regressed findings.
• Prepare and publish Test Summary, Defect Summary, HTML/JSON, and trend reports for technical and business stakeholders.
• Maintain CI/CD execution and reporting through GitHub Actions, containerized test environments, Artifactory, Jira, and Xray.
• Support distributed project teams through test reviews, troubleshooting, documentation, defect triage, and technical meetings.

Required skills/experience:

• 5+ years of software quality engineering or test automation experience, including at least 2 years of data-centric validation.
• 2+ years of hands-on Robot Framework experience, including reusable resources, custom Python keyword libraries, parameterized testing, and Robot output analysis.
• Strong Python development skills for parsing, transformation, JSON traversal, numerical comparison, and automated validation.
• Experience writing SQL for data reconciliation, quality analysis, regression trending, and defect investigation
• Experience validating source-to-target mappings across JSON, CSV, XML, XLS/XLSX, and structured or semi-structured text formats.
• Knowledge of JSON Schema, semantic data models, controlled vocabularies, and schema-driven validation; Allotrope ASM experience is preferred.
• Experience with smoke, functional, regression, and UAT testing, including defect lifecycle management and root cause analysis.
• Experience with Git, GitHub Actions or equivalent CI/CD tooling, containerized execution, dependency management, and automated report publishing.
• Experience with Jira, Xray, Agile delivery, test evidence management, and regulated or GxP laboratory environments.
• Excellent written and verbal communication skills, including the ability to explain technical validation findings to technical and non-technical audiences.

Education: B.A. or B.S. degree, preferably in IT; or relevant skills and experience.

Language: English, professional proficiency

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